NVIDIA 2026 Internships: PhD Computer Architecture and Systems Research
By submitting your resume, you’re expressing interest in one of our 2026 Computer Architecture and/or Systems focused Research Internships. We’ll review resumes on an ongoing basis, and a recruiter may reach out if your experience fits one of our many internship opportunities.
NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society — from gaming to robotics, self-driving cars to life-saving healthcare, climate change to virtual worlds where we can all connect and create.
Our internships offer an excellent opportunity to expand your career and get hands on experience with one of our industry leading Computer Architecture and Systems teams. We’re seeking strategic, ambitious, hard-working, and creative individuals who are passionate about helping us tackle challenges no one else can solve.
Learn more about Research at NVIDIA.
What you will be doing:
Design and implement algorithms, hardware, and software solutions that advance computing, graphics, media processing, and related technologies central to NVIDIA's innovation.
Collaborate with other team members, teams, and/or external researchers.
Transfer your research to product groups to enable new products or types of products. Deliverable results include prototypes, patents, products, and/or publishing original research.
What we need to see:
Must be actively enrolled in a university pursuing a PhD degree in Computer Science, Electrical Engineering, or a related field, for the entire duration of the internship.
Depending on the internship, prior experience or knowledge requirements could include the following programming skills and technologies:
C, C++, Perl, Python, CUDA.
Strong background in research with publications at top conferences.
Excellent communication and collaboration skills.
Potential internships require research experience in at least one of the following areas:
Hardware-software co-design
Computer Architecture
GPU and Multi-GPU Architecture
Scalable memory systems
System-level GPU scheduling
Power, performance, and energy-efficiency in large-scale systems
Programming Systems
Parallel Computing
Optimizing GPU-accelerated workloads
Distributed Computing
Compilers
High-Performance Networking and Interconnects
Large-scale GPU networking
Topologies, routing, and congestion control
Circuits and microarchitecture for network controllers and switches
VLSI and Electronic Design Automation (EDA)
GPU Accelerated EDA
Systems for AI/ML
Systems Infrastructure for large LLM training and inference
ML for hardware systems (ML for EDA)
Click here to learn more about NVIDIA, our early talent programs, benefits offered to students and other helpful student resources related to our latest technologies and endeavors.
You will also be eligible for Intern benefits.
Applications are accepted on an ongoing basis.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Average salary estimate
If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.
Join NVIDIA’s Deep Learning internship program to work on GPU-accelerated algorithms, frameworks, and performance projects while collaborating with top engineers and researchers.
NVIDIA is recruiting motivated students for a 12-week Hardware Physical Design / VLSI internship to gain hands-on experience on real chip physical design projects using industry EDA tools and methodologies.
Care Access seeks an experienced Travel Clinical Research Coordinator based in Dallas to manage and execute multi-site clinical trial activities while traveling up to 75% nationwide.
NVIDIA seeks PhD candidates for 2026 hardware research internships to advance cutting-edge VLSI, ASIC, and EDA technologies used in AI and accelerated computing.
PSI, a longstanding global CRO, seeks an experienced Manager of Site Relations to lead patient recruitment and retention strategy, strengthen site partnerships, and optimize enrollment outcomes across global studies.
Lead metabolomics and genomics research at Texas A&M AgriLife to uncover genetic drivers of polyphenolic production in tree crops and contribute to crop nutrition improvement.
Support NYC DOT's new Department of Sustainable Delivery by conducting research, developing policy proposals, and coordinating pilots and outreach to improve micromobility and street safety across the city.
NVIDIA is a publicly traded, multinational technology company headquartered in Santa Clara, California. NVIDIA's invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, and ignited the era of modern AI.
144 jobs
🔮
Hi, I'm Risa! Your AI Career Copilot
you, just ask me below!
